Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

13 results about "Timestamp" patented technology

A timestamp is a sequence of characters or encoded information identifying when a certain event occurred, usually giving date and time of day, sometimes accurate to a small fraction of a second. The term derives from rubber stamps used in offices to stamp the current date, and sometimes time, in ink on paper documents, to record when the document was received. Common examples of this type of timestamp are a postmark on a letter or the "in" and "out" times on a time card.

Communication network time service method and system based on PTP time synchronization signal

The invention discloses a communication network time service method based on a PTP time synchronization signal. The method comprises the following steps: step S1, producing an initial clock frequencysignal, and generating a local initial PPS signal according to the initial clock frequency signal; step S2, acquiring a main clock PPS signal, and comparing the main clock PPS signal with the local initial PPS signal, regulating the initial clock frequency signal according to a comparison result so as to obtain a standard clock frequency signal, and generating a local check PPS signal according tothe standard clock frequency signal; step S3, performing frequency division on the standard clock frequency signal to obtain a frequency-dividing clock frequency signal, and preforming the frequency-division on the frequency-dividing clock frequency signal to obtain a high-precision clock frequency signal; and step S4, producing a PTP clock synchronization message timestamp according to the high-precision clock frequency signal and the local check PPS signal, and analyzing the PTP clock synchronization message timestamp to produce the local time. The method and system disclosed by the invention have the technical effect of being high in reliability and synchronization.
Owner:WUHAN ZHONGYUAN COMM CO LTD

Cross-mirror pedestrian trajectory tracking method and system, electronic device and storage medium

ActiveCN113034550ASolve the accuracy problemSolve real-timeImage enhancementDigital data information retrievalTimestampComputer graphics (images)
The invention relates to a cross-mirror pedestrian trajectory tracking method and system, an electronic device and a storage medium. An image collection device captures a portrait image, and forms first-level structural information according to the portrait image, a timestamp and the position information of the image collection device; a site server obtains the first-level structured information of the multiple image acquisition devices in the site range, obtains the portrait recognition confidence coefficient of the target pedestrian according to the first-level structured information, judges whether the portrait recognition confidence coefficient is larger than a face absolute confidence threshold value or not, and if the judgment result is yes, stores the first-level structured information in a target ID corresponding to the target pedestrian, and obtains second-level structured information from multiple pieces of first-level structured information of the target ID; and a cloud server obtains the second-level structured information of the plurality of site servers, and integrates the plurality of pieces of second-level structured information according to the timestamps and the position information of the image acquisition device to obtain the pedestrian real-time trajectory corresponding to the target ID, thereby improving the precision and real-time performance of pedestrian trajectory tracking.
Owner:UNIVERSAL UBIQUITOUS TECH CO LTD

Pipeline disease image classification method based on multi-label convolutional neural network

ActiveCN110349134AImprove accuracyRich classification featuresImage enhancementImage analysisDiseaseTimestamp
The invention discloses a pipeline disease image classification method based on a multi-label convolutional neural network. The pipeline disease image classification method comprises the following steps: 1, collecting a pipeline endoscopic detection video, and extracting an image frame in the video; 2, calculating a timestamp feature of each image; 3, sending part of the image frames collected inthe step 1 into a multi-label convolutional neural network model for training, and obtaining the multi-label convolutional neural network model capable of correctly classifying the pipeline disease types; and 4, detecting the endoscopic image of the pipeline to be detected by using the trained multi-label convolutional neural network model, then outputting a one-hot code by the multi-label convolutional neural network model, and determining the type of the existing pipeline disease according to the one-hot code. A multi-label classification layer is added on the basis of an existing Inception-ResNet-v2 network, and the classification function of various pipeline disease images is achieved.
Owner:TIANHE COLLEGE GUANGDONG POLYTECHNIC NORMAL UNIV

Multi-episode film and television splicing method and device thereof, storage medium and electronic equipment

The invention relates to a multi-episode film and television splicing method and device, a storage medium and electronic equipment, and belongs to the technical field of internet videos, and the method comprises the following steps: sorting imported source files according to an episode sequence, and sequentially analyzing the source files; performing head and tail cutting processing on the corresponding source files based on the file duration obtained by analysis to obtain first intermediate files to be identified and processed; carrying out video frame cutting on the first intermediate files, carrying out coincident content identification on images obtained by frame cutting aiming at each two adjacent first intermediate files, and carrying out timestamp dotting on the coincident content of the corresponding files based on the identification result; according to the dotting timestamp, carrying out duplicate removal processing on the coincident content of the first intermediate files to obtain a second intermediate file to be merged; and splicing and merging the second intermediate file according to a preset splicing strategy to obtain a spliced source file. The multi-episode film and television splicing method is beneficial to reducing manpower and efficiently and accurately realizing multi-episode movie and television splicing.
Owner:GUANGZHOU HUANWANG TECH

High-precision coming vehicle and running vehicle detection system

ActiveCN112356878AImprove stabilityExtended service lifeOptical rangefindersVehicle route interaction devicesData packLaser ranging
The invention discloses a high-precision coming vehicle and running vehicle detection system. The system comprises two laser range finders, a data receiving module, a front-end processing module and astate conversion module which are arranged along the traveling direction of a train; the data receiving module is connected with the two laser range finders respectively, associates the received distance data with the IDs of the laser range finders and the real-time timestamps respectively, and stores qualified data as an original data packet through data verification; the front-end processing module performs data filtering on the received original data packet, and judges whether the corresponding laser range finder is shielded or not according to the distance data, and adds records to form adata packet I; and the state conversion module converts the current system state among idleness, pre-triggering, triggering and post-triggering according to the data in the data packet I in combination with the current system state. The high-precision coming vehicle and running vehicle detection system can effectively eliminate the situations of backing, parking and the like, accurately and efficiently complete the collection of coming vehicle and running vehicle signals, and can provide accurate coming vehicle and running vehicle signals for a test system.
Owner:EASY THINKING HANGZHOU TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products